Abstract: An appropriate vector of any phrase can be generated. A lattice construction unit 212 constructs a lattice structure formed by links binding adjacent word or phrase candidates based on a morphological analysis result and a dependency analysis result of input text. A first learning unit 213 performs learning of a neural network A for estimating nearby word or phrase candidates from word or phrase candidates based on the lattice structure. A vector generation unit 214 acquires a vector of each of the word or phrase candidates from the neural network A and sets the vector as learning data. A second learning unit performs learning of a neural network B for vectorizing the word or phrase candidates based on the learning data.

Abstract: To make it possible to accurately generate a word vector even if vocabulary of a word vector data set is not limited. In a vector generating device 10 that generates vectors representing an input sentence P, when generating a series of the vectors representing the input sentence P based on vectors corresponding to words included in the input sentence P, a definition-sentence-considered-context encode unit 280 generates, based on a dictionary DB 230 storing sets of headwords y and definition sentences Dy, which are sentences defining the headwords y, concerning a word, which is the headword stored in the dictionary DB, among the words included in the input sentence P, the series of the vectors representing the input sentence P using the definition sentence Dy of the headwords y.

Abstract: The present disclosure relates to concurrent learning of a relationship estimation model and a phrase generation model. The relationship estimation model estimates a relationship between phrases. The phrase generation model generates a phrase that relates to an input phrase. The phrase generation model includes an encoder and a decoder. The encoder converts a phrase into a vector using a three-piece set as learning data. The decoder generates, based on the converted vector and a connection expression or a relationship label, a phrase having a relationship expressed by the connection expression or the relationship label for the phrase. The relationship estimation model generates a relationship score from the converted vector, which indicates each phrase included in a combination of the phrases, and a vector indicating the connection expression and the relationship label.

Abstract: Provided are a dialogue device, a dialogue method, a data structure, and a program capable of realizing various dialogues while reducing the amount of description of a dialogue scenario. A knowledge transition unit 120 determines a next type of knowledge based on: a knowledge base 130 in which a relation label indicating each of relations between a plurality of types of knowledge is attached to knowledge about each of utterances to express the knowledge about the utterance; a user utterance; current knowledge; and a dialogue scenario including a basic scenario in which a transition method between the plurality of types of knowledge in the knowledge base is determined using the relation label, and an utterance generation unit 150 generates a system utterance based on the next type of knowledge.

Abstract: In communication performed among multiple participants, at least one of a participant who will start speaking next and a timing thereof is estimated. An estimation apparatus includes a head motion information generation unit that acquires head motion information representing head motions of communication participants in a time segment corresponding to an end time of an utterance segment and synchronization information for head motions between the communication participants, and an estimation unit that estimates at least one of the speaker of the next utterance segment following the utterance segment and the next utterance start timing following the utterance segment based on the head motion information and the synchronization information for the head motions between the communication participants.

Abstract: To arrange all words so that the distance of a given word pair will be appropriate. Using as input a concept base 22 which is a set of pairs of a word and a vector representing a concept of the word, and a dictionary 24 which is a set of semantically distant or close word pairs, when a word pair C being a pair of given words A, B in the concept base 22 is present in the dictionary 24, conversion means 30 associates with the word pair C a magnitude D of a difference vector between a difference vector V? between a converted vector of the word A and a converted vector of the word B, and a vector kV determined by multiplying a difference vector V between the vector of the word A in the concept base 22 and the vector of the word B in the concept base 22 by a scalar value k. When the word pair C is not present in the dictionary 24, the conversion means 30 associates the magnitude D of the difference vector between the difference vector V? and the difference vector V with the word pair C.

Abstract: To make it possible to generate a response sentence with respect to an input speech sentence without preparing a large amount of data. A response-type determining unit 117 determines, based on an analysis result of a speech sentence analyzed by a speech-content analyzing unit 112, a speech type indicating a type of the speech sentence and determines a response type with respect to the determined speech type based on the speech type and a type conversion rule prescribing, for each speech type, a rule for a response type with respect to a speech of the speech type. A response-sentence generating unit 119 generates the response sentence based on the response type and a response sentence database.

Abstract: A learning device of a phrase generation model includes a memory; and a processor configured to execute learning the phrase generation model including an encoder and a decoder, by using, as training data, a 3-tuple. The 3-tuple includes a combination of phrases and at least one of a conjunctive expression representing a relationship between the phrases, and a relational label indicating the relationship represented by the conjunctive expression. The encoder is configured to convert a phrase into a vector from a 2-tuple. The 2-tuple includes a phrase and at least one of the conjunctive expression and the relational label. The decoder is configured to generate, from the converted vector and the conjunctive expression or the relational label, a phrase having the relationship represented by the conjunctive expression or the relational label with respect to the phrase.

Abstract: A nonverbal information generation apparatus includes a display unit that partitions text into predetermined units, displays the text partitioned into the predetermined units, and makes nonverbal information that represents information about behavior of a verbal output agent or nonverbal information that represents information about behavior of a receiver of verbal information of the verbal output agent that corresponds to the text when the verbal output agent outputs the verbal information visible in association with the predetermined units of the text.

Abstract: A nonverbal information generation apparatus includes a nonverbal information generation unit that generates time-information-stamped nonverbal information that corresponds to time-information-stamped text feature quantities on the basis of the time-information-stamped text feature quantities and a learned nonverbal information generation model. The time-information-stamped text feature quantities are configured to include feature quantities that have been extracted from text and time information representing times assigned to predetermined units of the text. The nonverbal information is information for controlling an expression unit that expresses behavior that corresponds to the text.

Abstract: A nonverbal information generation apparatus includes a nonverbal information generation unit that generates time-information-stamped nonverbal information that corresponds to time-information-stamped text feature quantities and an expression unit that expresses the nonverbal information on the basis of the time-information-stamped text feature quantities and a learned nonverbal information generation model. The time-information-stamped text feature quantities are configured to include feature quantities that have been extracted from text and time information representing times assigned to predetermined units of the text. The nonverbal information is information for controlling the expression unit so as to express behavior corresponding to the text.

Abstract: A liquid crystal layer sandwiched by a lower substrate 1 and an upper substrate comprises cross-shaped supports, a wall surface structure, and a seal member. The supports 15 are provided at the four sides of each pixel. Contiguous pixels are linked via openings between supports. The wall surface structure is provided in the periphery of the supports arranged in the form of a grid. The supports and the wall surface structure are a same member having adhesiveness. A portion of the wall surface structure is an inlet of liquid crystal. A seal member is provided at the perimeter of the wall surface structure 17. The liquid crystal poured from the inlet is poured into all of pixels via openings. A black matrix in the form of a grid, which covers the top side of all of the supports, is provided on the upper substrate.

Abstract: A liquid crystal display element of a dot matrix structure comprises a liquid crystal panel constituted by a first substrate equipped with a first electrode, a second substrate equipped with a second electrode, and a liquid crystal layer furnished between the first substrate and the second substrate, wherein the liquid crystal layer comprises a support column of a wall structure possessing adhesiveness, wherein a part of each of the support columns has a wider part.

Abstract: When a liquid crystal panel in which a liquid crystal is enclosed between two substrates is manufactured, a space is provided as an aperture when the liquid crystal is injected, and a sealant for bonding the two substrates is applied to one of the two substrates along a first path encompassing a first area in which the liquid crystal is enclosed, and a second path encompassing a second area facing the first area with the space interposed between the areas. The two substrates to one of which the sealant is applied are bonded. In the system according to the present invention, only the sealant applied along the second path is hardened first on the bonded two substrates. After hardening the sealant applied along the second path, a hole which is an aperture for forcibly removing a gas generated when the sealant of the first path is hardened is formed.

Abstract: A display element comprises: a pair of substrates disposed opposite to each other; a liquid crystal enclosed between the pair of substrates; a wall structure which is formed to surround a pixel region and which is in contact with both of the pair of substrates; and an opening section which is an opening provided in a part of the wall structure to allow the liquid crustal to flow out of the pixel region.

Abstract: A multilayer liquid crystal display element has a plurality of data electrode layer-to-layer interconnects formed in a non-display area of a liquid crystal display panel for connecting data electrodes of liquid crystal display panels for R, G, and B to a plurality of data signal input terminals from layer to layer, and a plurality of scanning electrode layer-to-layer interconnects formed in the non-display area for connecting scanning electrodes of the liquid crystal display panels for R, G, and B to a plurality of scan signal input terminals from layer to layer.

Abstract: The invention relates to a liquid crystal display element having a liquid crystal enclosed between a pair of substrates and a multi-layer liquid crystal display element utilizing such elements. A liquid crystal display element having improved strength at enclosing portions thereof is provided without any reduction in the throughput of manufacturing steps along with a multi-layer liquid crystal display element utilizing such elements.

Abstract: The present invention provides a display element capable of allowing a user to recognize the content of an image in a short time during screen rewriting, a method of driving the same, and an electronic paper including the same. At the time of image display, B and R pixels 12b(i, 1) to 12b(i, 320) and 12r(i, 1) to 12r(i, 320) in i-th rows of B and R display units 6b and 6r and G pixels 12g(241?i, 1) to 12g(241?i, 320) in a (241?i)-th row of a G display unit 6g are driven substantially at the same time.

Abstract: In order to provide a cholesteric liquid crystal display element of a structure capable of forming a color in the background by means of a low cost electrode structure and burying an Off display color completely in the background color, the color of the display part and background part of the display element is formed by a color reflection state and a transparent state. This configuration makes it possible to form a color in the background so as to bury the Off display color completely in the background by employing a low cost electrode structure, thereby improving a suitability to an industrial design and accomplish a display of a good visibility.

Abstract: A liquid crystal display element of a dot matrix structure comprises a liquid crystal panel constituted by a first substrate equipped with a first electrode, a second substrate equipped with a second electrode, and a liquid crystal layer furnished between the first substrate and the second substrate, wherein the liquid crystal layer comprises a support column of a wall structure possessing adhesiveness, wherein a part of each of the support columns has a wider part.